Quantitative study of lung structure in COPD patients based on low-dose Karl iterative reconstruction

  • Yizhai Ye Ninghai First Hospital, Department of Radiology, Ningbo, Zhejiang Province, China
  • Juehui Li Baoan District Hospital of Traditional Chinese Medicine, Department of Pulmonary Diseases/Respiratory and Critical Care Medicine, Shenzhen, China
  • Weigen Wang Ninghai First Hospital, Department of Radiology, Ningbo, Zhejiang Province, China
  • Jianhua He Ninghai First Hospital, Department of Radiology, Ningbo, Zhejiang Province, China
  • Qi Yang The First Hospital of Jiaxing (Affiliated Hospital of Jiaxing University), Department of Respiratory, Jiaxing, Zhejiang Province, China
Keywords: airway remodeling;, algorithms;, tomography, x-ray computed;, diagnostic techniques and procedures;, pulmonary disease, chronic obstructive.

Abstract


Background/Aim. Low-dose Karl iterative reconstruction (KIR) is a commonly used technique in medical imaging. An iterative algorithm reduces the dose of X-ray radiation while ensuring image quality, making it a safer and more convenient imaging method. The aim of the study was to analyze the assessment value of low-dose KIR for the lung structure of patients with chronic obstructive pulmonary disease (COPD). Methods. The study included a total of 135 COPD patients undergoing bronchoscopic biopsy from August 2022 to July 2023. Low-dose KIR was conducted. Two groups were formed according to the lung structure examined by bronchoscopic biopsy: an airway remodeling group and a non-airway remodeling group. The examination indicators of low-dose KIR were compared. Receiver operating characteristic curves were plotted to analyze the clinical value of low-dose KIR for assessing the lung structure. Results. According to the examination results of chest X-ray, airway remodeling was done in 85 out of 135 (62.96%) COPD patients. The sensitivities, specificities, and areas under the curves of computed tomography value, noise value, signal-to-noise ratio, and contrast-to-noise ratio were 0.976 vs. 0.965 vs. 0.953 vs. 0.980, 0.960 vs. 0.940 vs. 0.927 vs. 0.753, and 0.623 vs. 0.643 vs. 0.670 vs. 0.640, respectively. Conclusion. Low-dose KIR proved to be a very accurate and fast method for the quantitative study of lung structure in COPD patients.

References

Christenson SA, Smith BM, Bafadhel M, Putcha N. Chronic ob-structive pulmonary disease. Lancet 2022; 399(10342): 2227–42.

Ferrera MC, Labaki WW, Han MK. Advances in Chronic Ob-structive Pulmonary Disease. Annu Rev Med 2021; 72: 119–34.

Yang IA, Jenkins CR, Salvi SS. Chronic obstructive pulmonary disease in never-smokers: risk factors, pathogenesis, and impli-cations for prevention and treatment. Lancet Respir Med 2022; 10(5): 497–511.

Calverley PMA, Walker PP. Contemporary Concise Review 2022: Chronic obstructive pulmonary disease. Respirology 2023; 28(5): 428–36.

Upadhyay P, Wu CW, Pham A, Zeki AA, Royer CM, Kodavanti UP, et al. Animal models and mechanisms of tobacco smoke-induced chronic obstructive pulmonary disease (COPD). J Toxicol Environ Health B Crit Rev 2023; 26(5): 275–305.

Brassington K, Selemidis S, Bozinovski S, Vlahos R. Chronic ob-structive pulmonary disease and atherosclerosis: common mechanisms and novel therapeutics. Clin Sci (Lond) 2022; 136(6): 405–23.

Long B, Rezaie SR. Evaluation and Management of Asthma and Chronic Obstructive Pulmonary Disease Exacerbation in the Emergency Department. Emerg Med Clin North Am 2022; 40(3): 539–63.

Adrish M, Anand MP, Hanania NA. Phenotypes of Asthma-Chronic Obstructive Pulmonary Disease Overlap. Immunol Allergy Clin North Am 2022; 42(3): 645–55.

Lee AHY, Snowden CP, Hopkinson NS, Pattinson KTS. Pre-operative optimisation for chronic obstructive pulmonary dis-ease: a narrative review. Anaesthesia 2021; 76(5): 681–94.

Hanania NA, Boulet LP. Asthma-Chronic Obstructive Pulmo-nary Disease: An Update. Immunol Allergy Clin North Am 2022; 42(3): xiii-xiv.

Shao KM, Bernstein JA. Asthma-Chronic Obstructive Pulmo-nary Disease Overlap: The Role for Allergy. Immunol Allergy Clin North Am 2022; 42(3): 591–600.

Rhee CK. Chronic obstructive pulmonary disease research by using big data. Clin Respir J 2021; 15(3): 257–63.

Volpato E, Toniolo S, Pagnini F, Banfi P. The Relationship Be-tween Anxiety, Depression and Treatment Adherence in Chronic Obstructive Pulmonary Disease: A Systematic Re-view. Int J Chron Obstruct Pulmon Dis 2021; 16: 2001–21.

Jeyachandran V, Hurst JR. Advances in chronic obstructive pulmonary disease: management of exacerbations. Br J Hosp Med (Lond) 2022; 83(7): 1–7.

Fuhlbrigge AL. Epidemiology of Asthma-Chronic Obstructive Pulmonary Disease Overlap. Immunol Allergy Clin North Am 2022; 42(3): 533–47.

Pellicori P, Cleland JGF, Clark AL. Chronic Obstructive Pul-monary Disease and Heart Failure: A Breathless Conspiracy. Cardiol Clin 2022; 40(2): 171–82.

Huo X, Jin S, Wang Y, Ma L. DNA methylation in chronic ob-structive pulmonary disease. Epigenomics 2021; 13(14): 1145–55.

Sobala R, De Soyza A. Bronchiectasis and Chronic Obstructive Pulmonary Disease Overlap Syndrome. Clin Chest Med 2022; 43(1): 61–70.

Hurst JR, Han MK, Singh B, Sharma S, Kaur G, de Nigris E, et al. Prognostic risk factors for moderate-to-severe exacerba-tions in patients with chronic obstructive pulmonary disease: a systematic literature review. Respir Res 2022; 23(1): 213.

Wu F, Deng ZS, Tian HS, Li HQ, Zhou YM. Progress in pre-chronic obstructive pulmonary disease. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46(10): 1028–34. (Chinese)

Published
2025/02/27
Section
Original Paper